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Independent Component Analysis for Spectral Signature Separation in Dual-comb Spectroscopy

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Abstract

Dual comb spectroscopy (DCS) for combustion, industrial, and environmental studies provide transmission spectra of complex mixtures of gases with potentially unknown signatures. We evaluate Independent Component Analysis (ICA) as a processing tool for DCS signals.

© 2020 The Author(s)

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